Claudeが小型モデルの独自開発を開始 — その方法とは
WiredのライターがClaudeとAutoResearchを使って小型言語モデルを自律的に訓練・改善し、再帰的な自己改善がフロンティアラボの外でも可能であることを実証した。
a journalist used claude to drive the autoresearch framework, automating the training and iterative refinement of a small language model on an nvidia dgx without human intervention. while early outputs were incoherent, the model improved autonomously over time. the experiment extended to using prime intellect to create a custom model, frontier_paper_curator, for research curation using synthetic data and reinforcement learning. this shift suggests specialized, self-improving models can be built by individuals, potentially reducing the industry's reliance on large, centralized frontier labs for specific applications.